HOVER FOR DETAIL ON SAVING DATA [1] GEO_NAME

Flagstaff, AZ MSA Lake Havasu City-Kingman, AZ MSA Phoenix-Mesa-Scottsdale, AZ MSA Prescott, AZ MSA Tucson, AZ MSA Yuma, AZ MSA Apache County Cochise County Gila County Graham County Greenlee County La Paz County Navajo County Santa Cruz County

2001 $615 $757 $683 $540 $625 $583 $488 $488 $488 $488 $488 $488 $488 $502

2002 $808 $783 $760 $557 $647 $603 $503 $503 $503 $503 $503 $503 $503 $517

2003 $857 $827 $806 $578 $683 $636 $522 $522 $522 $522 $522 $522 $522 $522

FAIR MARKET RENT FOR A 2 BEDROOM UNIT 2004 2005 2006 2007 2008 $887 $878 $907 $939 $1,012 $856 $907 $695 $676 $723 $835 $817 $770 $782 $862 $594 $696 $719 $744 $818 $707 $673 $746 $772 $769 $659 $650 $672 $695 $743 $537 $488 $504 $522 $574 $537 $577 $596 $617 $678 $537 $667 $689 $713 $784 $537 $544 $562 $582 $637 $537 $575 $594 $615 $674 $537 $554 $572 $592 $652 $537 $570 $589 $610 $668 $553 $603 $623 $645 $707

2009 $1,044 $746 $877 $844 $743 $767 $593 $699 $809 $657 $695 $672 $689 $729

2010 $1,102 $788 $919 $891 $815 $810 $627 $739 $854 $695 $734 $710 $728 $770

2011 $1,136 $812 $936 $919 $848 $835 $647 $762 $880 $717 $757 $732 $751 $794

2012 $887 $768 $870 $798 $860 $732 $614 $704 $750 $613 $817 $678 $691 $666

2013 $1,066 $769 $925 $819 $876 $780 $626 $712 $729 $650 $626 $677 $679 $677

2014 $1,021 $749 $957 $784 $852 $812 $637 $828 $723 $646 $637 $663 $661 $665

chart-main-title Fair Market Rent For a 2 Bedroom Home in Arizona Cities & Counties chart-axis-header 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 Flagstaff, AZ MSA 782.5710909 1012.588708 1052.950066 1060.733855 1017.338871019.607353 1028.283865 1086.995445 1112.7996 1160.567331173.327649 900.4145635 1066 Lake Havasu City-Kingman, AZ963.2623021 MSA. 981.2586122 1016.090671023.661984 1050.941179 781.286781740.2767761 776.5787617 795.1614 829.8793609 838.6813826 779.6148645 769 Phoenix-Mesa-Scottsdale, AZ MSA.. 869.0992766 952.4349237 990.2890933 998.5487816 946.6581513 865.5983041 856.3556788 925.8795195 934.7943 967.841539966.7558794 883.1574637 925 Prescott, AZ MSA 687.135592698.0345428 710.1576873 710.3448817 806.4554141 808.2664684 814.7424873 878.618848899.6196 938.3534398 949.197279810.0685701 819 Tucson, AZ MSA 795.2958241 810.822889839.1655716 845.4778306 779.805307838.6186167 845.404839825.9876456 791.9637 858.3143137 875.864301873.0062285 876 Yuma, AZ MSA 741.8519447 755.6819197 781.4191853 788.076224753.1552 755.4312472 761.0833719 798.0608852 817.5453 853.0485817 862.437136743.0704177 780 Apache 620.9669794 630.361535641.3534823 642.1804739 565.4457501 566.5734354 571.6338419 616.5369422 632.0787 660.322791668.2596731 623.2858422 626 Cochise 620.9669794 630.361535641.3534823 642.1804739 668.5700775 669.9955705 675.6668208 728.243984745.0641 778.2751875 787.0384403 714.6469591 712 Gila 620.9669794 630.361535641.3534823 642.1804739 772.8531052 774.5418591 780.7948836 842.0992382 862.3131 899.3870231 908.9157841 761.3426411 729 Graham 620.9669794 630.361535641.3534823 642.1804739 630.3329674 631.7743466 637.3388812 684.205631700.2963 731.936746740.5597922 622.2707187 650 Greenlee 620.9669794 630.361535641.3534823 642.1804739 666.2526769 667.7472632 673.4766528 723.9475594 740.8005 773.0094555 781.8741461 829.355917 626 La Paz 620.9669794 630.361535641.3534823 642.1804739 641.9199704 643.0158831 648.2897211 700.3172236 716.2848 747.733942756.0526749 688.2537475 677 Navajo 620.9669794 630.361535641.3534823 642.1804739 660.4591754 662.126495668.0012329 717.5029223 734.4051 766.6905771 775.676993701.4503533 679 Santa Cruz 638.7816059 647.9063889 641.3534823 661.3143428 698.6962855 700.3477188 706.3291724 759.393063777.0411 810.9227258 820.0899234 676.0722653 677

2014 999.9632217 733.5675348 937.2818836 767.8463916 834.4453133 795.269477 623.8751932 810.9398115 708.1032412 632.6897564 623.8751932 649.3394868 647.380695 651.2982786

GDP DEFLATOR 2005 2006 2007 2008 2009 2010 2011 2012 2013

1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 0.23099 0.24317 0.25533 0.26634 0.28112 0.30664 0.33563 0.35489 0.37751 0.404 0.43761 0.47751 0.52225 0.55412 0.57603 0.59766 0.61576 0.62937 0.64764 0.66988 0.69518 0.72201 0.7476 0.76533 0.78224 0.79872 0.81536 0.83088 0.84555 0.85511 0.86768 0.88647 0.9065 0.92118 0.941 0.9677 1 1.03257 1.06214 1.08483 109.729 110.992 113.327 0.2237 0.2355 0.24728 0.25794 0.27225 0.29697 0.32504 0.3437 0.3656 0.39126 0.42381 0.46245 0.50578 0.53664 0.55786 0.57881 0.59634 0.60952 0.62721 0.64875 0.67325 0.69924 0.72402 0.74119 0.75757 0.77353 0.78964 0.80467 0.81888 0.82814 0.84031 0.85851 0.87791 0.89212 0.91132 0.93718 0.96846 1 1.02864 1.05061 0.217476039 0.228943454 0.240392039 0.250757904 0.264673207 0.288700171 0.315994125 0.334127328 0.355423955 0.38036417 0.412007833 0.449573503 0.49169601 0.521701471 0.542329636 0.562694183 0.579735251 0.592549005 0.609750127 0.630688986 0.654508822 0.679769145 0.703862014 0.720554729 0.736475418 0.751991263 0.767657748 0.782269757 0.796081496 0.805082193 0.816916791 0.834607491 0.853465645 0.867286798 0.885947239 0.911085168 0.941495471 0.972159979 1 1.021362532 0.212927371 0.224154937 0.235364066 0.245513122 0.259137376 0.28266180.309384881 0.327138814 0.347990008 0.37240858 0.403390393 0.440170349 0.481411834 0.510789709 0.530986422 0.55092503 0.567609672 0.580155416 0.596996764 0.617497672 0.640819299 0.665551285 0.689140234 0.705483809 0.721071504 0.736262825 0.751601633 0.765908022 0.779430879 0.788243319 0.799830388 0.817151074 0.835614797 0.849146871 0.867417015 0.892029166 0.921803416 0.951826553 0.97908428 1 0.210728459 0.221840077 0.232933449 0.242977695 0.256461251 0.279742736 0.306189846 0.323760434 0.344396296 0.368562697 0.399224559 0.435624686 0.476440268 0.505514756 0.525502897 0.545235597 0.561747936 0.57416412 0.590831547 0.611120741 0.634201524 0.658678101 0.682023446 0.698198239 0.71362496 0.728659399 0.743839803 0.757998449 0.771381654 0.780103088 0.791570497 0.808712311 0.826985358 0.840377686 0.858459152 0.882817133 0.912283903 0.941996989 0.969721297 0.990913652 1 1.009524244 0.208294291 0.219277065 0.23023281 0.240170463 0.253495747 0.276506415 0.302643434 0.320014055 0.340411922 0.364305536 0.394605017 0.430580582 0.470934842 0.499666643 0.519424823 0.538930734 0.555247225 0.567527389 0.583997045 0.604061554 0.626864999 0.651055932 0.674138677 0.690121811 0.705366153 0.720232089 0.73524218 0.749234179 0.762469367 0.771082601 0.782416751 0.799363918 0.817419273 0.830654462 0.848124189 0.872008793 0.900965835 0.930076042 0.957068978 0.978286723 0.988620801 1 1.021037552 0.204002577 0.21475906 0.225489071 0.235221968 0.248272698 0.270809251 0.29640774 0.313420456 0.333398043 0.356799351 0.386474538 0.42170886 0.461231657 0.489371465 0.508722546 0.527826555 0.54380686 0.555834002 0.571964316 0.591615414 0.613949015 0.637641515 0.660248661 0.675902477 0.690832723 0.70539236 0.720093182 0.733796889 0.746759378 0.755195143 0.766295764 0.78289375 0.800577091 0.81353958 0.83064936 0.854041844 0.882402252 0.910912669 0.93734944 0.958130013 0.968251167 0.979395907 1 1 0.206304762 0.217190476 0.228209524 0.238104762 0.251085714 0.273704762 0.29892381 0.315380952 0.334904762 0.358342857 0.388057143 0.423104762 0.462609524 0.491295238 0.510580952 0.528752381 0.545685714 0.55672381 0.57087619 0.590857143 0.613866667 0.636628571 0.657771429 0.672752381 0.688771429 0.703428571 0.71812381 0.731219048 0.743742857 0.751809524 0.762542857 0.77987619 0.797771429 0.810019048 0.826161905 0.848809524 0.876047619 0.903009524 0.926971429 0.945142857 0.952380952 0.963866667 0.982809524 1 0.2032367014 0.213950652 0.2248240923 0.2345904869 0.2473590393 0.269575007 0.2945398255 0.3107139507 0.329984051 0.3531569566 0.3823060325 0.4167839385 0.4556900272 0.483966601 0.5030772117 0.5209212872 0.5375926447 0.5484379398 0.5624261188 0.5821183976 0.604747162 0.6271226194 0.6479876161 0.6627638615 0.6785345717 0.6929824561 0.7074397223 0.7203583826 0.7326766113 0.7406323295 0.751205554 0.7682803265 0.7858710948 0.79795478 0.8139037433 0.8362135285 0.8630359321 0.8895581199 0.9131719674 0.931006661 0.9381743128 0.9495356037 0.9681865091 0.9851017919 1 1.021037552

LastUpdate SourceLine

05/22/14 U.S. Department of Housing & Urban Development

SourceURL Dataset Description

http://www.huduser.org/datasets/fmr.html Fair Market Rents (FMRs) are primarily used to determine payment standard amounts for the Housing Choice Voucher program, to determine initial renewal rents for some expiring project-based Section 8 contracts, to determine initial rents for housing assistance payment (HAP) contracts in the Moderate Rehabilitation Single Room Occupancy program (Mod Rehab), and to serve as a rent ceiling in the HOME rental assistance program. FMRs are gross rent estimates. They include the shelter rent plus the cost of all tenant-paid utilities, except telephones, cable or satellite television service, and internet service. HUD sets FMRs to assure that a sufficient supply of rental housing is available to program participants. To accomplish this objective, FMRs must be both high enough to permit a selection of units and neighborhoods and low enough to serve as many low-income families as possible. The level at which FMRs are set is expressed as a percentile point within the rent distribution of standard-quality rental housing units. Standard-quality rental housing units have the following attributes: Occupied rental units paying cash rent; Specified renter on 10 acres or less; With full plumbing; With full kitchen; Unit more than 2 years old, and Meals not included in rent. In this table, FMR for 2 Bedroom Units are used as a standard measure of comparison, although HUD sets rates for all standard unit sizes from efficiency suites (0 BR to 4 BR)

Technical Notes

The current definition used is the 40th percentile rent, the dollar amount below which 40 percent of the standard-quality rental housing units are rented. The 40th percentile rent is drawn from the distribution of rents of all units occupied by recent movers (renter households who moved to their present residence within the past 15 months). HUD is required to ensure that FMRs exclude non-market rental housing in their computation. Therefore, HUD excludes all units falling below a specified rent level determined from public housing rents in HUD's program databases as likely to be either assisted housing or otherwise at a below-market rent, and units less than two years old. The U.S. Department of Housing and Urban Development (HUD) annually estimates FMRs for 530 metropolitan areas and 2,045 nonmetropolitan county FMR areas. By law the final FMRs for use in any fiscal year must be published and available for use at the start of that fiscal year, on October 1.

Viz 1 - how are we doing?

Fair market rents in Southern Arizona have steadily increased since 2001. Increases ranged from 109% in Pima County to 127% in Santa Cruz County (adjusted for inflation). In 2011, the highest FMRs were in Pima and Yuma County with $848 and $835 respectively and the lowest rents were in Graham and Greenlee counties with $717 and $757 respectively. Statewide, the Phoenix MSA (Maricopa and Pinal counties) saw rents rise at similar rates (110%). Rents in Cococino and Gila counties, however, rose nearly 50% while rents actually fell in real terms in Mojave County.

[1] Guidelines for Reusing Data: Arizona Indicators uses Google Spreadsheets to store raw data in a consistently structured manner that makes it easy to use in a variety of applications. For the greatest user control we recommend that you save the entire workbook in Excel format before importing them into other applications. After a file or worksheet is saved locally --in any format-- you will notice three rows and one column that were hidden from view in Google Spreadsheets. These header rows and key field column provide options for user customization. Header rows of varying lengths are valuable as descriptive text for most database; geographic information system (GIS); and charting & graphing software. The key field --held in the first column-- is useful in most database & GIS software (the Federal Information Processing Standard code for locations is used where applicable). If you do not wish to use the header rows or key column simply remove them before importing into an application or presentation.